What are the best practices for data collection in AI?
The best practices for data collection in AI include ensuring data quality, diversity, and compliance with regulations.
How can I ensure the quality of the data I collect?
To ensure data quality, you should validate data sources, clean the data, and regularly update it to reflect current conditions.
What types of data should I focus on collecting?
Focus on collecting diverse datasets that represent various scenarios, including edge cases, to improve model robustness.
Are there any legal considerations I should be aware of?
Yes, you should be aware of data privacy laws like GDPR and CCPA, ensuring that you have consent for data collection.
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